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Academy module

Supply Chain Analytics

Supply chain analytics: from IBP planning to control-tower action — architecture diagram for Supply Chain Analytics, Analytics Legends Academy module M092

As of 2026-08-16

Edited by , sole editor and publication director — 27 years in the SAP ecosystem. How these pages are produced, and where automation is used.

Supply chain serves the Auto/Industrial demand block (18%,) and moves working capital directly — frame everything in its KPIs (OTIF, forecast accuracy/MAPE, inventory turns, cash-to-cash). SAP IBP owns operational planning; Datasphere builds the cross-functional data products blending IBP plans + S/4HANA execution (MM/SD/PP) + external signals; SAC shows plan-vs-actual. Counter the bullwhip effect with demand sensing and one shared forecast; model at the planning granularity the business executes at, not the finest available. Control-tower analytics is the maturity destination (BDC's unified-foundation pattern). The premium pairs SAP fluency with genuine supply-chain literacy.

What you will learn

  • Understand the core concepts behind supply chain analytics
  • Apply Supply Chain in a typical SAP analytics engagement
  • Recognize the 3-5 common mistakes and how to avoid them
  • Position this skill in your personal brand and rate conversation

Supply chain analytics serves the Automotive and Industrial demand block, one of the largest verticals in European SAP analytics work, and it is also the vertical where analytics most directly and most visibly moves money. A one-point improvement in forecast accuracy or in inventory turns shows up in working capital within a quarter — not within a strategic planning cycle two years out — which is precisely why supply-chain sponsors fund analytics work readily, on the condition that the consultant can speak their KPIs rather than talk about data models.

The KPI language: speaking the sponsor's dialect

Prerequisites

  • Intermediate hands-on experience on SAP analytics projects
  • Review core concepts first: C043, C087, C083

Outcomes

  • Understand the core concepts behind supply chain analytics
  • Apply Supply Chain in a typical SAP analytics engagement
  • Explain the core architecture and decision points for Supply Chain Analytics
  • Apply a repeatable implementation pattern in a 15-minute lab format

Full module available to members. The full module adds: the decision framework · the end-to-end scenario walkthrough · the KPI scorecard · the anti-patterns · the code blocks · the knowledge check · the diagrams.

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